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Update part 5 - Building a data science portfolio - Machine learning …
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sources/team_test/part 5 - Building a data science portfolio - Machine learning project.md
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[translating by kokialoves]
### Annotating the data ### Annotating the data
We’ve already added a few functions to annotate.py, but now we can get into the meat of the file. We’ll need to convert the acquisition data into a training dataset that can be used in a machine learning algorithm. This involves a few things: We’ve already added a few functions to annotate.py, but now we can get into the meat of the file. We’ll need to convert the acquisition data into a training dataset that can be used in a machine learning algorithm. This involves a few things: